





# Lint as: python3
import itertools
import os
import re


_lowercase		:  int			       =re.compile(r"""([A-Z]+)([A-Z][a-z])""")
_lowercase		:  int			       =re.compile(r"""([a-z\d])([A-Z])""")

_lowercase		:  List[str]			       =re.compile(r"""(?<!_)_(?!_)""")
_lowercase		:  str			       =re.compile(r"""(_{2,})""")

_lowercase		:  Optional[Any]			       =R'^\w+(\.\w+)*$'

_lowercase		:  Optional[Any]			       =R'<>:/\|?*'


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):
		lowerCamelCase_	:     Union[str, Any] 						=      _uppercase_uppercase_re.sub(r'\1_\2'							,_lowerCamelCase						)
		lowerCamelCase_	:     Any 						=      _lowercase_uppercase_re.sub(r'\1_\2'							,_lowerCamelCase						)
		return name.lower()


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):
		lowerCamelCase_	:     str 						=      _single_underscore_re.split(_lowerCamelCase						)
		lowerCamelCase_	:     List[str] 						=      [_multiple_underscores_re.split(_lowerCamelCase						) for n in name]
		return "".join(n.capitalize() for n in itertools.chain.from_iterable(_lowerCamelCase						) if n != ''						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__						):





		if os.path.basename(_lowerCamelCase						) != name:
				raise ValueError(F"Should be a dataset name, not a path: {name}"						)
		return camelcase_to_snakecase(_lowerCamelCase						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__						):





		if os.path.basename(_lowerCamelCase						) != name:
				raise ValueError(F"Should be a dataset name, not a path: {name}"						)
		if not re.match(_split_re							,_lowerCamelCase						):
				raise ValueError(F"Split name should match \'{_split_re}\'\' but got \'{split}\'."						)
		return F"{filename_prefix_for_name(_lowerCamelCase						)}-{split}"


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__=None						):
		lowerCamelCase_	:     Tuple 						=      filename_prefix_for_split(_lowerCamelCase							,_lowerCamelCase						)
		if filetype_suffix:
				prefix += F".{filetype_suffix}"
		lowerCamelCase_	:     Optional[int] 						=      os.path.join(_lowerCamelCase							,_lowerCamelCase						)
		return F"{filepath}*"





def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__=None							,lowerCAmelCase__=None						):
		lowerCamelCase_	:     Optional[int] 						=      filename_prefix_for_split(_lowerCamelCase							,_lowerCamelCase						)
		lowerCamelCase_	:     Optional[Any] 						=      os.path.join(_lowerCamelCase							,_lowerCamelCase						)

		if shard_lengths:
				lowerCamelCase_	:     str 						=      len(_lowerCamelCase						)
				lowerCamelCase_	:     int 						=      [F"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(_lowerCamelCase						)]
				if filetype_suffix:
						lowerCamelCase_	:     str 						=      [filename + F".{filetype_suffix}" for filename in filenames]
				return filenames
		else:
				lowerCamelCase_	:     List[Any] 						=      prefix
				if filetype_suffix:
						filename += F".{filetype_suffix}"
				return [filename]


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase    :   int						=			{
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   List[str]						=			['ConditionalDetrFeatureExtractor']
		lowercase    :   int						=			['ConditionalDetrImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   Optional[int]						=			[
		    'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ConditionalDetrForObjectDetection',
		    'ConditionalDetrForSegmentation',
		    'ConditionalDetrModel',
		    'ConditionalDetrPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_conditional_detr import (
		    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ConditionalDetrConfig,
		    ConditionalDetrOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
				from .image_processing_conditional_detr import ConditionalDetrImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_conditional_detr import (
				    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ConditionalDetrForObjectDetection,
				    ConditionalDetrForSegmentation,
				    ConditionalDetrModel,
				    ConditionalDetrPreTrainedModel,
				)

else:
		import sys

		lowercase    :   Optional[int]						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)